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Comparison · 2 models · Updated Oct 4, 2026

Llama-3.3-70B-Instruct vs Nova Pro

Too close to call on our weighted score (Nova Pro 48, Llama-3.3-70B-Instruct 46). The right pick depends on what you value most.

  1. Meta

    Llama-3.3-70B-Instruct

    Released Dec 6, 2024

    46/100
    • ECI127.3
    • Price$0.59 / $0.724
    • Context128K
    Full specs Remove Llama-3.3-70B-Instruct

  2. Amazon

    Nova Pro

    Released Dec 3, 2024

    48/100
    • ECI123.8
    • Price$0.80 / $3.20
    • Context300K
    Full specs Remove Nova Pro

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    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Nova Pro 48/100, Llama-3.3-70B-Instruct 46/100), so choose by what matters most for your work: Llama-3.3-70B-Instruct for raw capability and Nova Pro for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityLlama-3.3-70B-InstructCapabilities Index (ECI): Llama-3.3-70B-Instruct 127.3 · Nova Pro 123.8
  • Lowest priceLlama-3.3-70B-InstructLlama-3.3-70B-Instruct $0.624 · Nova Pro $1.40 per 1M tokens (3:1 blend)
  • Longest contextNova ProNova Pro 300,000 · Llama-3.3-70B-Instruct 128,000 tokens
  • Widest inputsNova ProLlama-3.3-70B-Instruct: Text · Nova Pro: Text, Images, PDFs, Video
  • Self-hostingLlama-3.3-70B-InstructPublishes downloadable weights
How the score is built
MeasureWeightLlama-3.3-70B-InstructNova Pro
CapabilityCapabilities Index (ECI)50%4945
Price25%6043
Inputs & features15%2570
Context window10%2439
Overall100%46/10048/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Llama-3.3-70B-Instruct vs Nova Pro specifications side by side
SpecificationLlama-3.3-70B-InstructMetaNova ProAmazon
Capability
Capabilities Index (ECI)127.3 (best)123.8
ECI rank#133 of 148 (best)#137 of 148
GPQA DiamondGraduate-level science questions47.4%—
OTIS Mock AIME 2024–2025Competition mathematics5.1%—
Price per million tokens
Input$0.59 (best)$0.80
Output$0.724 (best)$3.20
Cached input—$0.20
Blended (3:1)$0.624 (best)$1.40
Long-context rateSame rateSame rate
Price sourceMedian of 21 providersOfficial Amazon Bedrock API
Limits
Context window128,000 tokens300,000 tokens (best)
Max output4,096 tokens10,000 tokens (best)
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoYes
AudioNoNo
VideoNoYes
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenProprietary
API model IDllama-3.3-70b-instructamazon.nova-pro-v1:0
API providers24 (best)3
ReleasedDec 6, 2024Dec 3, 2024
Knowledge cutoffDec 2023Oct 2024
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Llama-3.3-70B-Instruct$7.35
  • Nova Pro$14.40
04 — Questions

Which should you choose?

Which is better: Llama-3.3-70B-Instruct or Nova Pro?

It is close. Our weighted score puts them within 2 points (Nova Pro 48/100, Llama-3.3-70B-Instruct 46/100), so choose by what matters most for your work: Llama-3.3-70B-Instruct for raw capability and Nova Pro for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Llama-3.3-70B-Instruct or Nova Pro?

Llama-3.3-70B-Instruct is cheaper at $0.59 input / $0.724 output per million tokens (median across 21 API providers; free on Llama). Nova Pro costs $0.80 input / $3.20 output per million tokens (official Amazon Bedrock API price). At a typical mix of three input tokens to one output token, that is $0.624 per million tokens for Llama-3.3-70B-Instruct versus $1.40 for Nova Pro (2.2× as much).

Which scores higher on benchmarks?

Llama-3.3-70B-Instruct scores higher on the Capabilities Index (ECI): Llama-3.3-70B-Instruct 127.3 (#133 of 148) and Nova Pro 123.8 (#137 of 148). The confidence ranges of the top two overlap (122.5–129.5 vs 108.8–126.6), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for Llama-3.3-70B-Instruct and Nova Pro yet, so there is no like-for-like coding score. On overall capability, Llama-3.3-70B-Instruct leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Nova Pro has the largest context window at 300,000 tokens, against 128,000 for Llama-3.3-70B-Instruct. Maximum output per response: Llama-3.3-70B-Instruct up to 4,096, Nova Pro up to 10,000 tokens.

Which can read images, PDFs, audio or video?

Llama-3.3-70B-Instruct accepts text; Nova Pro accepts text, images, PDFs and video. Nova Pro handles the widest range of inputs.

Are any of these open source?

Llama-3.3-70B-Instruct publishes its weights and can be self-hosted; Nova Pro is proprietary.

Which is newer?

Llama-3.3-70B-Instruct is the newest, released Dec 6, 2024. Nova Pro came out Dec 3, 2024. Knowledge cutoff: Llama-3.3-70B-Instruct Dec 2023, Nova Pro Oct 2024.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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